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Secures Kirby sites with access restriction, user roles, permissions, and protected downloads. Use when implementing login/role-based access, permissions, or file protection.

Scaffolds a new Kirby page type (blueprint + template, optional controller/model) using project roots, index tools, and Panel field/section references. Use when creating a new page type or extending an existing blueprint/template.

Language-agnostic test plan generation and execution.

Implements custom Kirby routes and content representations (.json/.xml/.rss), including redirects, sitemap endpoints, and URL pattern filtering. Use when building endpoints, redirects, or representation templates that change how URLs resolve.

Maps a Kirby project using Kirby MCP tools/resources, including roots, templates, snippets, controllers, models, blueprints, plugins, runtime status, and key config. Use when a user wants a project overview, file locations, or a quick orientation before making changes.

Rust code review and development skills covering ownership, lifetimes, error handling, async/tokio, serde, sqlx, axum, macros, FFI, unsafe, concurrency, and testing patterns.

Builds or extends Kirby plugins using hooks, extensions, blocks, KirbyTags, and shared templates/controllers. Use when creating reusable features or integrating Panel customizations.

Improves Kirby performance and media delivery (cache tuning, CDN, responsive images, lazy loading). Use when optimizing page speed, caching, or image handling.

React, React Flow, React Router, Remix v2, shadcn/ui, Tailwind v4, Vitest, and Zustand code review. Pairs with beagle-core for full workflow.

Designs Kirby blueprints and Panel UI, including blueprint reuse/extends, programmable blueprints, and custom Panel fields/sections/areas. Use when changing the Panel experience or schema.

Improves IDE autocomplete and static analysis in Kirby projects with PHPDoc hints and Kirby IDE helper generation. Use when types are missing or IDE support is degraded.

Python, FastAPI, SQLAlchemy, PostgreSQL, and pytest code review. Pairs with beagle-core for full workflow.

Manages Kirby multi-language workflows, translations, and localized labels. Use when dealing with languages, translation keys, placeholders, or importing/exporting translations.

Exposes Kirby content to headless clients using the API, KQL, and JSON representations. Use when building API endpoints, KQL queries, or headless frontends.

Swift, SwiftUI, SwiftData, iOS animation design/implementation/review, and framework code review (HealthKit, CloudKit, WidgetKit, watchOS, App Intents). Pairs with beagle-core for full workflow.

Implements frontend forms and actions in Kirby (contact forms, file uploads, email with attachments, creating pages from frontend). Use when handling user input or building submission flows.

Diagnoses Kirby rendering/runtime issues using MCP runtime rendering, dump traces, and template/snippet/controller indexes. Use when outputs are wrong, errors occur, or tracing execution paths is required.

Go code review and development skills covering architecture, middleware, data persistence, concurrency, and framework-specific patterns for BubbleTea, Wish SSH, and Prometheus.

Plans and applies safe Kirby content migrations using runtime content tools, update schemas, and explicit confirmation. Use when users need to rename/move/transform fields, clean up content, or bulk-update pages/files across languages.

Builds Kirby listings, pagination, search, filtering/sorting/grouping, and navigation menus. Use when implementing collection logic in templates/controllers/snippets.

Elixir, Phoenix, and LiveView code review and documentation skills

Documentation quality, generation, and improvement using Diataxis principles. Pairs with beagle-core for full workflow.

Guide for creating Claude Code skills following Anthropic's best practices

Shared code review workflows, verification protocol, git commands, and feedback handling. Recommended as a base for all beagle plugins.

Architecture analysis, brainstorming, ADR generation, LLM-as-judge comparison, and spec gap resolution.

Safety guardrails for running Claude Code with reduced supervision. The guard-destructive PreToolUse hook matches against a normalized view of each command (heredoc bodies and comments stripped, quoted strings neutralized except interpreter arguments like ssh / sh -c / eval / su / doas), so a command that merely mentions a destructive pattern is not flagged. It hard-blocks catastrophic Bash commands (rm -rf /, rsync --delete, docker volume rm) and makes rm/rmdir scope-aware: operations whose operands all resolve inside the allowed workspace (the session project root, temp dirs, any $GUARDALLOWEDEXTRA root, or a variable assigned from a bare mktemp earlier in the same command) run silently, while anything outside it (or any glob/variable/escape it cannot resolve) raises a single reflective confirmation. git reset --hard / clean / restore, shred, dd, mkfs still always prompt.

Pydantic AI, LangGraph, DeepAgents, and Vercel AI SDK skills for building and reviewing AI applications.

Git commit, PR creation, review, and merge skills following Conventional Commits

Distill complex topics into layered, actionable summaries. Start with the key insight, layer in detail, end with recommended next action.

Safe, behavior-preserving code transformation backed by tests. Refactor with evidence, not instinct.

Patterns for Retrieval-Augmented Generation (RAG) and agent memory systems. Retrieves only relevant context, prevents context bloat, and maintains coherent state across sessions.

Guards AI agents and LLM-powered applications against prompt injection attacks — both direct and indirect. Validates AI inputs and outputs at every trust boundary.

Zero-downtime deployments with pre-flight checks, staged rollouts, and rollback plans. Never ship to production without a verified rollback strategy.

Measure first, optimize second. Data-driven performance improvements with before/after benchmarks and production validation.

Structured logging, distributed tracing, and alerting for AI systems and traditional services. You can't fix what you can't see.

Designs and coordinates multi-agent pipelines where specialized agents collaborate to complete complex tasks. Includes communication protocols, failure handling, and state management.

Converts unstructured meeting notes into structured, assigned, time-bounded action items. Never leave a meeting without knowing who does what by when.

Test real system boundaries, not mocks of mocks. Integration tests verify that components work together, not that they work in isolation.

Build in verifiable increments. Never implement more than can be tested right now. Ship partial working systems over complete broken ones.

Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.

Detects and mitigates LLM hallucinations in production pipelines. Validates AI-generated facts, code, and decisions before they reach end users or downstream systems.

Transforms imperative instructions into declarative goals with verifiable success criteria. Enables autonomous looping until verified completion.

Accessible, performant, responsive UI patterns. Component design, state management discipline, and Core Web Vitals compliance.

Graceful degradation and meaningful error messages. Errors are first-class citizens, not afterthoughts. Every error path is designed, not discovered.

Document decisions, not just implementations. ADRs for architectural choices, inline docs for non-obvious code, and runbooks for operational knowledge.

Systematic root cause analysis for production and development bugs. Hypothesis-driven debugging — never guess-and-check.

Load minimum necessary context into agent context windows. Prevents token bloat, reduces cost, and improves focus. Only load what the current task needs.

Get layered, context-aware explanations of unfamiliar code. Understand what it does, why it was written that way, and how to work with it safely.